{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "fig.add_subplot(223)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建数据\n",
    "x = np.random.rand(100)\n",
    "y = np.random.rand(100)\n",
    "\n",
    "# 创建一个Figure对象和一个Axes对象\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 绘制散点图\n",
    "ax.scatter(x, y)\n",
    "\n",
    "# 设置轴标签和标题\n",
    "ax.set_xlabel('X')\n",
    "ax.set_ylabel('Y')\n",
    "ax.set_title('Scatter Plot')\n",
    "\n",
    "# 添加网格线\n",
    "ax.grid(True)\n",
    "\n",
    "# 设置坐标轴范围\n",
    "ax.set_xlim(0, 1)\n",
    "ax.set_ylim(0, 1)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(221)\n",
    "ax\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1208952a0>]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(221)\n",
    "data=np.arange(10)\n",
    "ax .plot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x320 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 创建Figure对象和两个Axes对象\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 3.2))\n",
    "\n",
    "# 绘制第一个子图\n",
    "x1 = np.linspace(-2, 2, 100)\n",
    "y1 = np.sin(x1)\n",
    "ax1.plot(x1, y1, label='sin(x)')\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('y')\n",
    "ax1.set_title('Plot of sin(x)')\n",
    "\n",
    "# 绘制第二个子图\n",
    "x2 = np.random.randn(100)\n",
    "y2 = np.random.randn(100)\n",
    "ax2.scatter(x2, y2)\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('y')\n",
    "ax2.set_title('Scatter plot')\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.rc('lines', linewidth=2, linestyle='--', color='r')\n",
    "x = np.linspace(-5, 5, 100)\n",
    "y = np.sin(x)\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.xlim(-3, 3)\n",
    "plt.ylim(-1, 1)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=np.arange(0,np.pi*2,0.01)\n",
    "fig1=plt.figure(figsize=(10,4),dpi=90)  \n",
    "#确定画布大小\n",
    "#绘制第一幅子图\n",
    "ax1=fig1.add_subplot(1,2,1)\n",
    "plt.title('lines example')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('Y')\n",
    "plt.xlim(0,1)\n",
    "plt.ylim(0,1)\n",
    "plt.xticks([0,0.2,0.4,0.6,0.8,1])\n",
    "plt.yticks([0,0.2,0.4,0.6,0.8,1])\n",
    "plt.plot(data,data**2)\n",
    "plt.plot(data,data**3)\n",
    "plt.legend(['y=x^2','y=x^3'])\n",
    "\n",
    "#绘制第二幅子图\n",
    "ax1=fig1.add_subplot(1,2,2)\n",
    "plt.title('sin-cos')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('Y')\n",
    "plt.xlim(0,np.pi*2)\n",
    "plt.ylim(-1,1)\n",
    "plt.xticks([0,np.pi/2,np.pi,np.pi*3/2,np.pi*2])\n",
    "plt.yticks([-1,-0.5,0,0.5,1])\n",
    "plt.plot(data,np.sin(data))\n",
    "plt.plot(data,np.cos(data))\n",
    "plt.legend(['sin','cos'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rc('lines', linewidth=2, linestyle='--', color='r')\n",
    "plt.plot([1, 2, 3], [4, 5, 6])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 设置全局线条宽度和颜色\n",
    "plt.rcParams['lines.linewidth'] = 5\n",
    "plt.rcParams['lines.color'] = 'b'\n",
    "\n",
    "# 创建第一个子图\n",
    "ax1 = plt.subplot(1, 2, 1)\n",
    "ax1.plot([1, 2, 3], [4, 5, 6])\n",
    "\n",
    "# 创建第二个子图，并覆盖全局线条宽度和颜色参数\n",
    "ax2 = plt.subplot(1, 2, 2)\n",
    "ax2.plot([1, 2, 3], [6, 5, 4], linewidth=3)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 生成数据\n",
    "x1 = np.random.randn(50)\n",
    "y1 = np.random.randn(50)\n",
    "x2 = np.random.randn(50)\n",
    "y2 = np.random.randn(50)\n",
    "\n",
    "# 绘制散点图\n",
    "plt.scatter(x1, y1, marker='o')\n",
    "plt.scatter(x2, y2, marker='^')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.family'] = ['SimHei']\n",
    "data = [25,30,32,34,34,23]\n",
    "label = ['青海','兰州','北京','上海','广州','拉萨']\n",
    "plt.xlabel('城市')\n",
    "plt.ylabel('温度')\n",
    "plt.title('六城市8月份日均最高气温')\n",
    "plt.bar(label,data)\n",
    "for x,y in zip(range(len(data)),data):\n",
    "    plt.text(label[x],y,y,ha = 'center',va = 'bottom')\n",
    "plt.savefig(\"myfig.png\",transparent=True, dpi=100, pad_inches = 0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 8722 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "d:\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 8722 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 生成圆的数据\n",
    "t = np.linspace(0, 2*np.pi, 100)\n",
    "x = np.cos(t)\n",
    "y = np.sin(t)\n",
    "\n",
    "# 绘制圆和矩形\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(x, y, '-r', label='Circle')\n",
    "ax.plot([-1, 1, 1, -1, -1], [-1, -1, 1, 1, -1], '-b', label='Square')\n",
    "\n",
    "# # 设置图形比例相等\n",
    "# ax.axis('equal')\n",
    "\n",
    "# 添加图例和标题\n",
    "ax.legend()\n",
    "ax.set_title('Circle and Square')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 创建一个 2 行 3 列的子图\n",
    "fig, axes = plt.subplots(nrows=2, ncols=3)\n",
    "\n",
    "# 循环遍历所有的子图\n",
    "for ax in axes.flat:\n",
    "    # 绘制不同图形的子图\n",
    "    if np.random.randint(2) == 0:\n",
    "        ax.plot(np.random.rand(10))\n",
    "    else:\n",
    "        ax.bar(np.arange(10), np.random.rand(10))\n",
    "\n",
    "# # 显示图形\n",
    "# plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 8722 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "d:\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 8722 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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UZ91K+nNJp7Lbs2Wso6vqbrOSLpb0jKQry1pHERz0R3s4IjYAbwd+UdI787xJtjHcOeFrZoDfyLM+G0vldStpLRAR8dPZ7Yo867SRamuzwL3AZyLi23nWWRUH/TFExPPAF4F35XyLi4E7J3zNbwKP5Vyfjaniur0aeHLYk5I2SDqSsxzWp+o2K+kdwK3AxKf3Vl3vDvp9JB3qm1dmB/CP+/7/eeC1VV7/AUnfkXRC0oeyxz4NfBV4S7ZL/4djlOMG4AoGHNyR9ICkJyTdPeHHs2UfBrb2fYeimrp9B3BdNvTwLUnv6Xv/9cCDwLp8Hyl9/e1vwG1vnrckX71+C3gamB23zQL/CTgD7JX0y5I0VgFrqHfPp3+u+yLiEPTGB4EbI+L9kq6g17j/SNIG4CHg8f4XSvoZ4D5gC/AqcFTS8Yi4Q9Im4HBEbFqtAJIuAHbT6zVcvuK5W4E1EbFF0m9Luioinp7qE3dM9h2eBxwCrpR0HfAeYOjsoEXVLfAy8G8jYq+kzcDDkr4cEX+Tve824OH8ny55r7e/lSTdkv3dADwUESN78FmbzVOvFwNHgHvo7ZW9a7U2lg0hvRP4N8B3s/cM4D+Pel2m8np30B/tFySdonfB7y8A3wY+w+Bf5RuAL0bEdwEkfR74OUbszg/xceD3I+JpSZeveG4e2J/dfxS4jl6PxMY3D3wF+GXgb4CbgX8XEcdHvKaQuo2I3+u7f1TSSXpDPl+JiDPZe0/ylp0yZq+4v83uzlGvtwG/lj3/14zXxv4h8N8i4jez91kH3M4YQb+OevfwzmgPZwfc/jbwJZZ/lc8MWT5W3M+TD/tPgF/NNtw/ALZJ+oPsuXXAc9n9F4ANOd6/69YBL9LrWd1OLzD81hivm7puJf1z9S46s+RyVhl+sHOs1v6gr83mrNfzWW5jrzJeGzsD9E/K/9fAX4zxulo46E8gIs5ExEtDnn4MuFnS5ZIuBd5LrzcO8EPgpyStzW4XjFjH342IDRHx0/SGeD4XEbdmT78MLL32Qlx/ebxMr2HD+N9hIXUL/CN6P+hrJf0K8GMm3xPsrFXaXx6D6vVpem3sh8BFwE+OUa9/AtwoaSZb7l8A/73AchbKQaMgEfFN4C56G8ATwMcj4snsub8Efh34FvAd4NKcqzlOb3cTesMCJ6YoclcdB67K7o/1HRZYtx8DbgS+T28v4z3ZeL7VYFC9kg2bZvX6BL0MnpH1GhFP0cva+Z/As/T2FB4os+zT8Bm5fSRtHXUgKSIOZvcPR8R8lWXL1vu36B1kehy4CdhccM+n9fwdNlcT2l8Xtg/39BOSHfSZB44C17dtY6yCv0MbpQvbh3v6fSQdAIZdUOJrrb08oFkDuP1Vw0HfzKxDPLxjZtYhjT4565JLLolNmzbVXQwDjh8//nxR11J1vTZHkfUKrtumGFWvjQ76mzZt4tixY3UXw4Ds7NFCuF6bo8h6BddtU4yq13SGd/btg02b4Lzzen/37au7RGbl83Zvo+TYPhrd03/dvn2wfTucPdv7/+TJ3v8ACwv1lcusTN7ubZRR28cIafT0d+5c/mBLzp7tPW7WVt7ubZSc20caQf+ZZyZ73KwNvN3bKDm3jzSC/uzsZI+btYG3exsl5/aRRtDftQvWrj33sbVre4+btZW3exsl5/aRRtBfWIDFRdi4EaTe38VFH8yydvN2b6Pk3D7SyN6B3gfxxm5d4+3eRsmxfaTR0zez/Jzrb33S6emb2eSc628ruKdv1mbO9bcVHPTN8kph2MS5/raCg75ZHkvDJidPQsTysEnTAr9z/W0FB32zPFIZNnGuv63goG+WRyrDJs71txWcvWOWx+xsb0hn0ONN41x/6+OefplSONBn+XjYxBLloF9WYE7lQJ/l42ETS1S3g36ZgTmVA32W38ICnDgBr73W++uAbwnodtAvMzCncqDPzDql20G/zMDs/Ohm8nGWiUi6SNKXJD0q6fOSzq+7TDadbgf9MgOzD/Q1j4+z5LEA7I6IdwOngBtrLo9NqdtBv8zA7AN9zePjLBOLiE9FxGPZvzPAD+osj02v20G/7MDsA33Nstpwnod+hpK0BVgfEUcHPLdd0jFJx06fPl1D6WwSPjnLJ650x6gTqjwF8VCS3gx8Erht0PMRsQgsAszNzUWFRbMcut3Tt24ZNZznoZ+BsgO3B4C7ImLAL6alxkHfumPUcJ5TbIf5CHANsFPSYUnb6i6QTaeW4R1JDwBvAx6JiHvrKIN11LDhvJTm0qlQRNwP3F93Oaw4lff0Jd0KrImILcCVkq6qugxWDkkPSHpC0t11l2ViTrG1jqhjeGce2J/dfxS4roYyWMGS/zF3iq11RB3DO+uA57L7L9AbL3ydpO3AdoDZju9aJ2aeN/6YP730ZBL16kwu64A6evovAxdk9y9cWYaIWIyIuYiYm5mZqbxwltvKH/MN/U+6Xs2aoY6gf5zlIZ2rgRM1lMGKN/LH3MzGVPJJgnUM7xwEjki6DLgJ2FxDGax4Sz/mR+n9mD9Vb3HMElTBSYKV98Yi4gy98d+jwPUR8VLVZbBSHAQ+KGk3cDvwSL3FsVp5Sot8KjhJsJY8/Yh4keWDftYCEXFG0jxwA/AJ/5h3mKe0yK+CkwQ97lqnpvWGpixPRLwYEfsj4lQp5bM0eEqL/Cq4DoeDfl2aNrd708pj6fKUFvlVcJJge4N+03rRKzWtN9S08li6fNW4/Co4SbCdQT+FXmvVvaHVfgS72DtrescgVZ7SYjolX4ejnUE/hV5rlb2hcX4Eu9Y7S6FjkCpPadFo7Qz6KfRaq+wNjfMj2LXeWQodg5T5qnGN1c6gn0KvddzeUBFDEOP8CHatd5ZCx8CsBO0M+qn0WlfrDRU1BDHuj2CXemcpdAxW42MSlkM7g35beq1FDUGk8iNYpdS/Ex+TsJzaGfShHb3WooYg2vIjWKTUvxMfk7Cc2hv026DIIYg2/AgWLeXvxMck2qPiYToH/SZLfQjCytOGYxJWyzCdg36TpT4EYeVxh6Adahimq2WWTZuAL+FngyxtEzt39oZ0Zmd7Ad/bSlpqGKZz0DdLlTsE6Zud7Q3pDHq8JB7eMTOrSw3DdA76ZmZ1qeG4nYO+mVkR8qZeVpw67KBv9fJUAo0n6QFJT0i6u+6yNFZCZ0g76Ft9EmooXSXpVmBNRGwBrpR0Vd1laqSEzpB20Lf6etsJNZQOmwf2Z/cfBa6rrygNVkXqZUHt1EG/6+rsbXsqgRSsA57L7r8AbFi5gKTtko5JOnb69Oli157K8F/ZZ0gX2E4d9Luuzt62pxJIwcvABdn9CxkQMyJiMSLmImJuZmamuDWnNPxXduplge3UQb/r6uxteyqBFBxneUjnauBEZWtOafiv7NTLAtupz8jtuhrOCHydpxJIwUHgiKTLgJuAzZWtObXhvzLPkC6wnbqn33V197ZTnt64AyLiDL2DuUeB6yPipcpW7uG/ZQW2Uwf9rvNMnraKiHgxIvZHxKlKV1x3h6RJCmynDvrm3rY1U5M7JHVkFRXUTj2mb2bN1cSZRJeyipYOMi9lFUHzyjqAe/pmZpNIKatoAAd9M7NJpJZVtIKDvpnZJBLPKnLQNzObROJZRQ76ZmaTaHJW0Rgc9M2qksrkYba6hNOcnbJpVoXE0/ysPdzTN6tC4ml+VpIa9v7c07eRtm7dyiuvvALwVkmHVzz9bER8oPpSJSjxND8rQU17f+7p20g7duzg8OHDAE9FxHz/DXhI0kWSviTpUUmfl3R+rQVuqsTT/KwENe39OejbtBaA3RHxbuAUcGPN5WmmxNP8rAQ17f0VNrwj6dCI9/MwQEtFxKf6/p0BfjBoOUnbge0As13s3fraAbZSTdeyKHJM/76IODToCUm3SLoI+CywBvgRsC0iflzg+q1GkrYA6yPi6KDnI2IRWASYm5uLKsvWGE2cPMzqs2vXuWP6UMneX5XDO2MNA5R6kWUrhaQ3A58EPlx3WcySUdNJXpVl74w7DOAeYVqyA7cHgLsiYsC+qpkNVcPeX+UHclcbBrDkfAS4Btgp6bCkbXUXyMyGqzRPv28Y4LYq12v57dmzh3vvvRcG5+l/LSLuBO6vulxmlk9lQd/DAGk6cOAAAJKeynLzzSxhVQ7veBjAzKxmRfb0Pyrp7iHPeRjAzKwBCgv6EfG+ot7LzMzK4WkYzMw6xEHfzKxDPLWyWUdt3boVBqfigufLai0HfbOO2rFjB48//vjAVFzPl9Ve6Q3v+Dqj1gTd2A7bP212N+rxHGn19H2dUWuCjmyHrZ82uyP1uFJaPX1fZ9SaoGPb4TjTZkfEXETMzczMVFy6KXSsHpek1dP3dUatCTq0HbZ6vqwO1WO/tHr6vs6oNUFHtsPWz5fVkXpcKa2g7+uMWhN0Zzts93xZ3anHc6Q1vOPrjFoTtGQ73LNnDwzP02//fFktqcdJKaK5F6eSdBoYd7fyEuD5EouTV1vKtTEiCjlKN2G9TqOp3/0gdZW1sHqFSut2pbrrumnrH1qvjQ76k5B0LCLm6i7HSi5XfVL6jCmVtYnq/v5SWn9aY/pmZjYVB30zsw5pU9BfrLsAQ7hc9UnpM6ZU1iaq+/tLZv2tGdM3M7PVtamnb2Zmq3DQNzPrkKROzpJ0iOFlbtxFHyQ9ALwNeCQi7q27PEskbQAeioh31V2WIqS2XfRr6jbSRE2t5ybU4SRtOqmgD9wXEYcGPSHpluxvIwKapFuBNRGxRdJvS7oqIp6us0xZudYDDwLr6i5LgUZuF029GEhTt5EGa1z7b0IdTtqmWzW807CANg/sz+4/ClxXX1HO8SqwDThTd0Eq1NSLgczTzG0kSTW1/3nqr8OJ2nSrgj7NCmjrgOey+y8AG2osy+si4kxEvFR3OaoUEZ+KiMeyf4deDKQGjdxGElZH+6+9Didt06kN74wUEWcAJNVdFICXgQuy+xfSvh/Y5Kx2MZAaeBspUE3tP7k6bHwBE3ac5V29q4ET9RXF+i4G8uG6y9LH20j6kqvDVvX0G+YgcETSZcBNwOZ6i9NdDb4YyEG8jaTuIInVoXv6Jcl2NeeBo8D1TRtHj4j5ustQoUZeDKTp24itrkl1OG6bTmoaBkkH6B2IG2Tpog/WMd4uusH1XIykgr6ZmU3HwztmZh3ioG9m1iEO+mZmHeKgb2bWIQ76ZmYd8v8B2B0OhrALHYAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "fig = plt.figure()\n",
    "\n",
    "for i in range(1, 7):\n",
    "    ax = fig.add_subplot(2, 3, i)\n",
    "    x = np.random.randn(10)\n",
    "    y = np.random.randn(10)\n",
    "    ax.scatter(x, y, c='r', marker='o')\n",
    "    ax.set_title(f'Plot {i}')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x19e1b591610>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "np.random.seed(123)\n",
    "\n",
    "\n",
    "plt.plot(np.random.randn(30).cumsum(),color='k',linestyle='dashed',marker='o')\n",
    "plt.xticks([0,25,50,75,100])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
